{"title":"Polarity Based SVM Techniques for Analyzing Movie Review","authors":"S. Arjaria, Jincy M. Mathew","doi":"10.2139/ssrn.3350270","DOIUrl":null,"url":null,"abstract":"Nowadays the Internet is used as an enormous source repository of information and it is accessible for everyone. This information is generated day-to-day by information sharing among the users. Customers or the users need this information for making their purchasing decision according to the reviews of other customers. As everyone wants to know the opinions from others that is why there is need of a system which can directly give the final opinions from this large collection of user reviews. The sentiment analysis is found to be very useful in various application areas like in news sector, healthcare industry, apparel industry, political elections, movie reviews and product review. The analysis of movie reviews has been emerged as a prominent area of research in this field. The proposed work applied a polarity feature based SVM technique to enhance the accuracy of the prediction of correct movie","PeriodicalId":155631,"journal":{"name":"2nd International Conference on Advanced Computing & Software Engineering (ICACSE) 2019 (Archive)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-03-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2nd International Conference on Advanced Computing & Software Engineering (ICACSE) 2019 (Archive)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.2139/ssrn.3350270","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
Nowadays the Internet is used as an enormous source repository of information and it is accessible for everyone. This information is generated day-to-day by information sharing among the users. Customers or the users need this information for making their purchasing decision according to the reviews of other customers. As everyone wants to know the opinions from others that is why there is need of a system which can directly give the final opinions from this large collection of user reviews. The sentiment analysis is found to be very useful in various application areas like in news sector, healthcare industry, apparel industry, political elections, movie reviews and product review. The analysis of movie reviews has been emerged as a prominent area of research in this field. The proposed work applied a polarity feature based SVM technique to enhance the accuracy of the prediction of correct movie